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Nothing super clear here. For another view, here’s mean/sd.

##     correct id     mean        sd
##  1:       0  1 3.488206 1.2033557
##  2:       1  1 4.341070 1.3414862
##  3:       0  2 2.705851 0.8562252
##  4:       1  2 3.318556 0.8070109
##  5:       0  3 2.309430 0.9343396
##  6:       1  3 3.159028 1.2914723
##  7:       0  4 6.425881 3.2794592
##  8:       1  4 5.674990 2.8193456
##  9:       1  5 2.672091 0.5580086
## 10:       0  5 2.983645 0.7743404
## 11:       1  6 3.577020 1.0990006
## 12:       0  6 2.678984 1.0993206
## 13:       0  7 5.532303 2.8881860
## 14:       1  7 8.600860 2.7292610
## 15:       0  8 3.138085 1.1672841
## 16:       1  8 3.288395 1.0279501
## 17:       0  9 3.934680 2.9200017
## 18:       1  9 5.198242 2.1361181

Maybe people tend to push a little harder when correct? It’s small & hard to tell…

Maybe a difference in thumb? But now change the y-axis to count.

Thumb effect is attenuated (probably not enough observations). See per-individual densities (back to relative scaling, but with points below to show # observations):

Jury is out on RT differences between fingers.

Break it down one more time: Now heterologous/homologous/same hand:

I don’t have people’s handedness, but we can look for biases toward one hand or another per individual:

This one takes a bit to grok, but I think the best way is to compare within column, row 1 vs row 2 & row 3 vs row 4. This is comparing switching R->L vs L->R. Nothing obvious jumps out here.

Now switching within the same hand (also remember, less data in this case):